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Novadotgg/
intent_recognition

Name: intent_recognition
Availability: InStock

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Intent Recognition Model

This model is designed for intent recognition in crop recommendation and price prediction.
It uses Natural Language Processing (NLP) techniques to classify user input into different intents.

📌 Usage

To use this model, download the .pkl files and load them using Python.

python

from huggingface_hub import hf_hub_download
import pickle

# Load the model and vectorizer
model_path = hf_hub_download(repo_id="<your-username>/<your-model-name>", filename="intent_model.pkl")
vectorizer_path = hf_hub_download(repo_id="<your-username>/<your-model-name>", filename="vectorizer_intent.pkl")

with open(model_path, "rb") as f:
    model = pickle.load(f)

with open(vectorizer_path, "rb") as f:
    vectorizer = pickle.load(f)

print("Model and vectorizer successfully loaded!")

Novadotgg/intent_recognition

Intent Recognition Model

📌 Usage

Novadotgg/
intent_recognition